LEAST-MEAN-SQUARE PARAMETER IDENTIFICATION FOR CHEST COMPLIANCE MODELING IN CPR.

Isaac N. Bankman, Kreg G. Gruben, Aleksander S Popel, Henry R Halperin, Nitish V Thakor, Joshua E. Tsitlik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors developed a least-mean-square estimation method to assess the parameters of a model of the chest wall. The chest wall was modeled as the combination of a spring, a mass, and a dashpot. The method was verified by estimating the parameters of a known cyclically compressed spring loaded with different masses. Because accuracy of the parameter identification was satisfactory, the method can be applied to estimation of parameters of the human chest.

Original languageEnglish (US)
Title of host publicationIEEE/Engineering in Medicine and Biology Society Annual Conference
PublisherIEEE
Pages1207-1208
Number of pages2
Publication statusPublished - 1987

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Bankman, I. N., Gruben, K. G., Popel, A. S., Halperin, H. R., Thakor, N. V., & Tsitlik, J. E. (1987). LEAST-MEAN-SQUARE PARAMETER IDENTIFICATION FOR CHEST COMPLIANCE MODELING IN CPR. In IEEE/Engineering in Medicine and Biology Society Annual Conference (pp. 1207-1208). IEEE.